Class meetings and schedule

Time : Mon Wed 9:30 - 11am

Location:

Supplemental Files:

Date Topic Instructor
Mon Jan 10 Lecture 1: Course intro; Molecular biology primer Keegan
Wed Jan 12 Lecture 2: High-dimensional genomics assays & data Keegan
Mon Jan 17 Lecture 3: Exploratory data analysis & experimental design Keegan
Wed Jan 19 Lecture 4: Statistics & probability primer Keegan
Mon Jan 24 Lecture 5: Statistical inference: two groups Keegan
Wed Jan 26 Lecture 6: Statistical inference: linear regression & ANOVA Keegan
Mon Jan 31 Lecture 7: Statistical inference: multiple linear regression Keegan
Wed Feb 2 Lecture 8: Statistical inference: continuous model & limma Keegan
Mon Feb 7 Lecture 9: Statistical inference: multiple testing Keegan
Wed Feb 9 Lecture 10: Application of statistical inference to RNA-seq I Keegan
Mon Feb 14 Lecture 11: Application of statistical inference to RNA-seq II Keegan
Wed Feb 16 Lecture 12: Biological network and Enrichment analysis Yongjin
Mon Feb 21 Family day (no class)
Wed Feb 23 Reading break (no class)
Mon Feb 28 Lecture 13: Unsupervised learning: clustering and dimensionality reduction Yongjin
Wed Mar 2 Lecture 14: Supervised learning I: regression and classification Yongjin
Mon Mar 7 Lecture 15: Supervised learning II: model selection Yongjin
Wed Mar 9 Lecture 16: Statistical methods for epigenetics Keegan
Mon Mar 14 Lecture 17: Causal inference and confounding effects Yongjin
Wed Mar 16 Lecture 18: Genetics and Genome-Wide Association Studies Yongjin
Mon Mar 21 Lecture 19: Cancer genomics and clonal evolution Guest: Andrew Roth
Wed Mar 23 Lecture 20: Advanced Statistical Genetics Methods Yongjin
Mon Mar 28 Lecture 21: Single cell Genomics Yongjin
Wed Mar 30 Final Project Presentations
Mon Apr 4 Final Project Presentations
Wed Apr 6 Final Project Presentations